{"id":"W2095664530","doi":"10.1897/1551-5028(2001)020<0652:praocp>2.0.co;2","title":"PROBABILISTIC RISK ASSESSMENT OF COTTON PYRETHROIDS: I. DISTRIBUTIONAL ANALYSES OF LABORATORY AQUATIC TOXICITY DATA","year":2001,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":146,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Bifenthrin; Cypermethrin; Deltamethrin; Pyrethroid; Cyfluthrin; Fenvalerate; Permethrin; Toxicology; Aquatic toxicology; Biology; Toxicity; Pesticide; Acute toxicity; Ecology; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00548367,0.0006085249,0.0005607816,0.001943568,0.0002331761,0.00102112,0.0008017814,0.0004693931,0.0009634371],"category_scores_gemma":[0.01568956,0.0002739948,0.001027898,0.0006606209,0.0004542418,0.001061976,0.001162166,0.0006845004,0.0001368075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008099449,"about_ca_system_score_gemma":0.0003799499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001720559,"about_ca_topic_score_gemma":0.001177384,"domain_scores_codex":[0.9975667,0.001158147,0.0001680275,0.0003024786,0.0007091864,0.00009542951],"domain_scores_gemma":[0.9812202,0.01448591,0.001973271,0.0008327304,0.001372006,0.0001158465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004965659,0.0002376918,0.07047176,0.0002797907,0.0004061105,0.0002258251,0.0002014581,0.840073,0.009474762,0.005304574,0.0008909752,0.07193737],"study_design_scores_gemma":[0.00003076994,0.0007867903,0.03504615,0.00004748121,0.00009877397,0.0006415688,0.0001944091,0.9427741,0.009170271,0.008882336,0.002218961,0.0001083997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6847507,0.001231458,0.3081429,0.000260349,0.00001494121,0.0002804622,0.001301874,0.0004840847,0.003533327],"genre_scores_gemma":[0.9704221,0.0004419757,0.02688515,0.00004002998,0.00001823195,0.0002183424,0.001350828,0.00003640325,0.0005868074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00548367,"threshold_uncertainty_score":0.02900076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02232898932869768,"score_gpt":0.2981334564161734,"score_spread":0.2758044670874757,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}